Role Description We are looking for an experienced Data Analyst to join our team supporting U.S. Customs and Border Protection. As a Data Analyst, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications. Role Responsibilities: - Responsible for data mining, data preparation, and reporting. - Prepare and conduct analyses and studies, needs/gaps assessments. - Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed. - Documents and summarizes the results and develops and recommends solutions to the customer’s problems. - Prepares big data, implements data models developed by others, and provides database support for customer solutions. - Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks. Qualifications - Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related quantitative or mathematical discipline. - At least two (2) years of experience applied data science research or big data analytics. - Bachelor’s Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline. A Master’s degree may be substituted for up to two (2) years of relevant experience. A PhD may be substituted for experience. - Knowledge of data mining methods, databases, data visualization and machine learning. - Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA). - Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs. - Ability to communicate analysis techniques, concepts, and products. - Ability to develop data-driven analysis and reports based on data visualizations and data models. - Strong SQL skills, and ability to identify issues with data. - Experience with Qlik. - Experience with Tableau. - Experience with PowerBI tools. - Familiarity with Databricks or similar cloud-based distributed database technologies. - Understanding of database and database design. - Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data. - Demonstrated experience within an AWS environment (AWS certifications preferred). - Familiarity with industry best-practices for software-hardware optimization when processing large sets of data. - Ability to travel to and work on site at clients as needed. - Excellent communication skills both verbal and written. Requirements - Expertise with Qlik. - Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics. - Experience with Hadoop, Spark or other parallel storage/computing processes. Benefits - Competitive Salary and Benefits. - Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. - Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. - Remote Work: in an industry of declining remote work opportunities. - People-Focused Culture: we prioritize work-life balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement. - Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits. Company Description Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. - Our team members are passionate, curious, life-long learners. - We value humility, servant-leadership, teamwork, and integrity. - We seek to serve our clients and our teammates to the best of our abilities. - Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. - Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. - By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.